Agentic Ai Architect

Mindsprint Pte. Ltd.

Chennai

On-site

INR 4,000,000 - 6,000,000

Full time

2 days ago

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Job summary

Mindsprint Pte. Ltd. seeks an senior AI architect to lead the GenAI and agentic AI stack for production deployments. You will craft architectures that integrate LLMs, RAG, knowledge graphs, and tool use via MCP with governance, security and reliability baked in.

You will work with business leaders to identify high-value AI use cases, drive adoption roadmaps, and mentor engineers and solution architects across engagements.

Qualifications

15+ years in software, data or solution architecture.
2+ years designing GenAI/agentic systems in production.
Hands-on with LLM application frameworks.

Responsibilities

Lead design of agentic AI architectures: orchestration, planning, memory and human-in-the-loop controls.
Architect RAG and knowledge systems with vector DBs and knowledge graphs.
Define enterprise integration via MCP servers, APIs and event-driven patterns.
Evaluate models (OpenAI, Anthropic, open-source) including fine-tuning.

Skills

GenAI architecture

LLM frameworks

RAG design

Python & API design

Executive-facing consulting

Data architecture

Education

B.E./B.Tech or M.Tech in CS/EE

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Azure OpenAI

Job description

Zenith, 08th & 12th Floor, Chennai, Tamil Nadu, India

15 - 18 Years

Permanent Full Time

Job Description

Job summary:

You will lead Mindsprint's GenAI and agentic AI architecture, taking agent-based solutions from opportunity to production. You will design systems that combine LLMs, RAG, knowledge graphs, tool use through MCP and enterprise integrations, with governance, security and reliability built in.

Job Description:

Work with business leaders to find high-value AI use cases and shape production-grade solution strategies and adoption roadmaps.
Design agentic AI architectures: single- and multi-agent orchestration, planning, memory, tool calling and human-in-the-loop controls.
Architect RAG and knowledge systems: document ingestion and parsing, chunking, embeddings, vector and hybrid search, and knowledge graphs.
Define how agents connect to enterprise systems and data through MCP servers, APIs and event-driven integration.
Select and evaluate models (OpenAI, Anthropic, open-source via Hugging Face), including fine-tuning where it pays off.
Establish enterprise AI governance: guardrails, evaluation frameworks, observability, cost controls, security and responsible-AI policies.
Build reusable AI frameworks, accelerators and reference architectures that cut delivery effort across engagements.
Lead technical workshops, demos, PoCs and executive presentations; translate AI concepts for technical and non-technical audiences.
Partner with the Data Engineering Architect to make sure data platforms are AI-ready.
Guide and mentor AI engineers, data scientists and solution architects.

Profile Description:

Must-have

15+ years in software, data or solution architecture, with 2+ years designing GenAI or agentic systems that reached production.
Hands-on with LLM application frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.
Strong RAG design experience with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate or similar).
Working knowledge of MCP and tool/function-calling patterns.
Solid Python and API design; cloud AI services on Azure (Azure OpenAI, AI Foundry) or AWS/GCP equivalents.
Experience with LLM evaluation, guardrails and LLMOps.
Strong data architecture background: you understand how data quality and pipelines shape AI outcomes.
Proven executive-facing consulting and pre-sales experience.

Good to Have